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Querying Data with Transact-SQL (20761C)

This course is designed to introduce students to Transact-SQL. It is designed in such a way that the first three days can be taught as a course to students requiring the knowledge for other courses in the SQL Server curriculum. Days 4 & 5 teach the remaining skills required to take exam 70-761.

Audience profileThe main purpose of the course is to give students a good understanding of the Transact-SQL language which is used by all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. As such, the primary target audience for this course is: Database Administrators, Database Developers and BI professionals.

Prerequisites

Working knowledge of relational databases.

Basic knowledge of the Microsoft Windows operating system and its core functionality.

At course completionAfter completing this course, students will be able to:

Describe key capabilities and components of SQL Server.

Describe T-SQL, sets, and predicate logic.

Write a single table SELECT statement.

Write a multi-table SELECT statement.

Write SELECT statements with filtering and sorting.

Describe how SQL Server uses data types.

Write DML statements.

Write queries that use built-in functions.

Write queries that aggregate data.

Write subqueries.

Create and implement views and table-valued functions.

Use set operators to combine query results.

Write queries that use window ranking, offset, and aggregate functions.

Transform data by implementing pivot, unpivot, rollup and cube.

Create and implement stored procedures.

Add programming constructs such as variables, conditions, and loops to T-SQL code.

Module 2: Introduction to T-SQL QueryingThis module describes the elements of T-SQL and their role in writing queries. Describe the use of sets in SQL Server. Describe the use of predicate logic in SQL Server. Describe the logical order of operations in SELECT statements.Lessons

Introducing T-SQL

Understanding Sets

Understanding Predicate Logic

Understanding the Logical Order of Operations in SELECT statements

Module 3: Writing SELECT QueriesThis module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.Lessons

Module 7: Using DML to Modify DataThis module describes how to create DML queries, and why you would want to.Lessons

Adding Data to Tables

Modifying and Removing Data

Generating automatic column values

Module 8: Using Built-In FunctionsThis module introduces some of the many built in functions in SQL Server.Lessons

Writing Queries with Built-In Functions

Using Conversion Functions

Using Logical Functions

Using Functions to Work with NULL

Module 9: Grouping and Aggregating DataThis module describes how to use aggregate functions.Lessons

Using Aggregate Functions

Using the GROUP BY Clause

Filtering Groups with HAVING

Module 10: Using SubqueriesThis module describes several types of subquery and how and when to use them.Lessons

Writing Self-Contained Subqueries

Writing Correlated Subqueries

Using the EXISTS Predicate with Subqueries

Module 11: Using Table ExpressionsPreviously in this course, you learned about using subqueries as an expression that returned results to an outer calling query. Like subqueries, table expressions are query expressions, but table expressions extend this idea by allowing you to name them and to work with their results as you would work with data in any valid relational table. Microsoft SQL Server supports four types of table expressions: derived tables, common table expression (CTEs), views, and inline table-valued functions (TVFs). In this module, you will learn to work with these forms of table expressions and learn how to use them to help create a modular approach to writing queries.Lessons

Using Views

Using Inline Table-Valued Functions

Using Derived Tables

Using Common Table Expressions

Module 12: Using Set OperatorsThis module introduces how to use the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets.Lessons

Writing Queries with the UNION operator

Using EXCEPT and INTERSECT

Using APPLY

Module 13: Using Windows Ranking, Offset, and Aggregate FunctionsThis module describes the benefits to using window functions. Restrict window functions to rows defined in an OVER clause, including partitions and frames. Write queries that use window functions to operate on a window of rows and return ranking, aggregation, and offset comparison results.Lessons